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DRL-HEMS: Deep Reinforcement Learning Agent for Demand Response in Home Energy Management Systems Considering Customers and Operators Perspectives
(
Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
With the smart grid and smart homes development, different data are made available, providing a source for training algorithms, such as deep reinforcement learning (DRL), in smart grid applications. These algorithms allowed ...
Active Learning with Noisy Labelers for Improving Classification Accuracy of Connected Vehicles
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Machine learning has emerged as a promising paradigm for enabling connected, automated vehicles to autonomously cruise the streets and react to unexpected situations. Reacting to such situations requires accurate classification ...